Spin-Singlet Quantum Hall States and Jack Polynomials with a Prescribed Symmetry

Physics – Condensed Matter – Strongly Correlated Electrons

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

17 pages, 1 figure

Scientific paper

We show that a large class of bosonic spin-singlet Fractional Quantum Hall model wave-functions and their quasi-hole excitations can be written in terms of Jack polynomials with a prescribed symmetry. Our approach describes new spin-singlet quantum Hall states at filling fraction nu = 2k/(2r-1) and generalizes the (k,r) spin-polarized Jack polynomial states. The NASS and Halperin spin singlet states emerge as specific cases of our construction. The polynomials express many-body states which contain configurations obtained from a root partition through a generalized squeezing procedure involving spin and orbital degrees of freedom. The corresponding generalized Pauli principle for root partitions is obtained, allowing for counting of the quasihole states. We also extract the central charge and quasihole scaling dimension, and propose a conjecture for the underlying CFT of the (k, r) spin-singlet Jack states.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Spin-Singlet Quantum Hall States and Jack Polynomials with a Prescribed Symmetry does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Spin-Singlet Quantum Hall States and Jack Polynomials with a Prescribed Symmetry, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Spin-Singlet Quantum Hall States and Jack Polynomials with a Prescribed Symmetry will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-165677

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.